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The Politics of Modelling

Numbers Between Science and Policy

Bibliographic Data

ID19972912
EditorsAndrea Saltelli (0000-0003-4222-6975, Academic Counsellor, Universitat Pompeu Fabra (UPF), Barcelona School of Management), Monica Di Fiore (0000-0002-2621-8775, Researcher, National Research Council of Italy, Institute for Cognitive Sciences and Technologies)
Year2023
Publication date2023-08-24
Open AccessNo
TypeBOOK
VenuePolitics of Modelling (SOURCE_BOOK)
PublisherOxford University PressOxford (PUBLISHER)
DOI10.1093/oso/9780198872412.001.0001
OpenAlexW4386140272
Open LibraryOL48172385M
ISBN9780198872412
LanguageEN
Citations received12

Climate change and COVID-19 have brought mathematical models into the forefront of politics and decision-making, where they are now being used to justify momentous and often controversial decisions. Such models are technically very complex, and sources of political authority. Yet disagreement among experts fuels a growing uneasiness about the quality and significance of the numbers that models produce. This multidisciplinary volume takes a critical look at the intersections of the technical and the political aspects of models. Our goal is to help unravel the meanings and implications of models in the real world, for readers that include decision makers, policy analysts, journalists, scholars ... and even modellers

Economics · Epistemology · Management science · Multidisciplinary approach · Political science · Politics · Positive economics · Quality (philosophy) · Sociology · French Urban and Social Studies · Law

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Unique citing works12
Citations per year6
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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